JF Hu - Computers & operations research, 2007 - Elsevier
In this note, we show a mathematical error in paper (“An improved initial basis for the simplex algorithm”(Junior HV, Lins MPE. An improved initial basis for the simplex algorithm …
Linear programming (LP) is the core model of constrained optimization. The Simplex method (Simplex in short) has been proven in practice to perform very well in small-or medium-sized …
This dissertation describes two classes of Constraint Optimal Selection Techniques (COSTs). An algorithm of each type is developed for solving nonnegative linear …
Police Iteration (PI) is a widely used traditional method for solving Markov Decision Processes (MDPs). In this paper, the cosine policy iteration (CPI) method for solving …
J Frausto-Solís, A Nieto-Yáñez - … Conference, Beijing, China, May 27-30 …, 2007 - Springer
Linear programming (LP) is an important field of optimization. Even though, interior point methods are polynomial algorithms, many LP practical problems are solved more efficiently …
This article presents a new method of linear programming (LP) for solving Markov decision processes (MDPs) based on the simplex method (SM). SM has shown to be the most …